Miriam Baca

5 papers receiving 228 citations

Hit Papers

Cross-species transcriptomic atlas of dorsal root ganglia reveals species-specific programs for sensory function 2023 · 95 citations
950+1+2Years since publication255075

Peers

Miriam Baca
Comparison fields: 5 of 69
  • Rheumatology 48
  • Sensory Systems 14
  • Physiology 69
  • Cellular and Molecular Neuroscience 43
  • Immunology 47
Replace Vincenza Nardicchi with:
Vincenza Nardicchi Italy
Chetan S. Patil United States
M.G. Sabbadini Italy
Matthew Gormley United States
Thomas Hochdörfer Germany
Lucas Vicuña Chile
Thomas Fleetwood Italy
Claire Didszun Germany
Michela Ripolone Italy
Franziska Karl Germany
Miriam Baca relative to Vincenza Nardicchi Italy Vincenza Nardicchi's profile →
Citations per field
00.5×10×20×28.5×
Vincenza Nardicchi · 1×
Citations per year

Countries citing papers authored by Miriam Baca

Since Specialization
Citations

This map shows the geographic impact of Miriam Baca's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Miriam Baca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Baca more than expected).

Fields of papers citing papers by Miriam Baca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miriam Baca. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Miriam Baca. The network helps show where Miriam Baca may publish in the future.

Co-authors

The 25 scholars most cited alongside Miriam Baca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Miriam Baca Line = papers co-authored together Miriam Baca links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201599
2
Cross-species transcriptomic atlas of dorsal root ganglia reveals species-specific programs for sensory function
Hit paper breakdown →
202395
3 202421
4 201712
5 20227
6 20250

About Miriam Baca

Miriam Baca is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Neurology and Ophthalmology, having authored 6 papers that have together received 234 indexed citations. Recurring topics across this work include interferon and immune responses (1 paper), Hereditary Neurological Disorders (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Alzheimer's disease research and treatments (1 paper), Glaucoma and retinal disorders (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Rheumatology (48 citations), Sensory Systems (14 citations), Physiology (69 citations), Cellular and Molecular Neuroscience (43 citations) and Immunology (47 citations). Miriam Baca has collaborated with scholars based in United States, France and Singapore. Frequent co-authors include Richard A.D. Carano, Brad Bolon, Jason DeVoss, Kai Barck, Patrick Caplazi, Lauri Diehl, Oded Foreman, Min Jung, James Maksymetz and Benjamin I. Laufer. Their work appears in journals such as Veterinary Pathology, Investigative Ophthalmology & Visual Science, Scientific Reports, Nature Communications and Cell Death and Differentiation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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